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Single Face Detection on Skin Color and Edge Detection

Publication Date
Sun Nov 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Development of an Optimized Botnet Detection Framework based on Filters of Features and Machine Learning Classifiers using CICIDS2017 Dataset
Abstract<p>Botnet is a malicious activity that tries to disrupt traffic of service in a server or network and causes great harm to the network. In modern years, Botnets became one of the threads that constantly evolving. IDS (intrusion detection system) is one type of solutions used to detect anomalies of networks and played an increasing role in the computer security and information systems. It follows different events in computer to decide to occur an intrusion or not, and it used to build a strategic decision for security purposes. The current paper <italic>suggests</italic> a hybrid detection Botnet model using machine learning approach, performed and analyzed to detect Botnet atta</p> ... Show More
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Publication Date
Wed Mar 08 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Detection of Cellular and Molecular Toxicity of Aloe vera Gel Crude Extract on the Roots of the Allium cepa

    The cellular and molecular toxicity effect  of Aloe Vera crude extract on meristem cells of onion  (Allium cepa)  roots were studied  . Different concentrations of this crude extract   20% ,10% ,5%   ,2% ( and 40%) were used at different periods ; 24 ,48 and 72 hour . Number of  chromosomal aberrations and the mitotic index was calculated . In addition, the genetic effects were observed by  using randomly amplified polymorphic DNA ( RAPD ) technique . The results  showed that the gel crud extract of Aloe vera  had inhibition effects on the growth of the onion roots with 10% EC50  value. Significant effects of this gel crud extract were also observed on the chromosomal a

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Publication Date
Tue Dec 20 2022
Journal Name
2022 4th International Conference On Current Research In Engineering And Science Applications (iccresa)
Noise Detection and Removing in Heart Sound Signals via Nuclear Norm Minimization Problems

Heart sound is an electric signal affected by some factors during the signal's recording process, which adds unwanted information to the signal. Recently, many studies have been interested in noise removal and signal recovery problems. The first step in signal processing is noise removal; many filters are used and proposed for treating this problem. Here, the Hankel matrix is implemented from a given signal and tries to clean the signal by overcoming unwanted information from the Hankel matrix. The first step is detecting unwanted information by defining a binary operator. This operator is defined under some threshold. The unwanted information replaces by zero, and the wanted information keeping in the estimated matrix. The resulting matrix

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Publication Date
Sun Apr 01 2018
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Risk Factors and Early Detection of Diabetes Mellitus in Early Rheumatoid Arthritis Women

Background: Patients with rheumatoid arthritis show predominance of metabolic disorder characterized by overweight, central obesity, dyslipidemia, and impaired glucose tolerance, specifically, few studies have explained insulin resistance in this disease.
Objective: The aim of the present study is to examine insulin resistance and the risk of developing diabetes mellitus in middle age Iraqi women with early rheumatoid arthritis.
Patients and methods: This work involved seventy female with early rheumatoid arthritis. Who was attending to the National Diabetic Center (NDC) of Al-Mustansiriya University and 35 healthy subjects as a control group. From all subjects blood sample was drawn in fasting state to measure the biochemical para

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Publication Date
Sat Jan 01 2022
Journal Name
Computer Networks, Big Data And Iot
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Publication Date
Wed Dec 01 2021
Journal Name
Iraqi Journal Of Veterinary Sciences
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Publication Date
Wed Apr 01 2009
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Use of chromogenic Agar in detection of urinary tract pathogens and antimicrobial Susceptibility

Background: HROM agar Orientation is a chromogenic medium used for the detection and differentiation of Gram’s negative and Gram’s positive pathogenic microorganisms in urine samples. Evaluation of CHROM agar Orientation for identification of urinary pathogens and susceptibility determinations in comparison to the ordinary media used.
Patients and Methods: A total of 375 midstream urine sample collected from patients with urinary tract infection (UTIs). CHROM agar Orientation, blood agar and macConkey agar media were used for direct inoculation.
Results: CHROM agar Orientation succeeded in detecting all the urine pathogens that were detected by the reference media, and antimicrobial Susceptibility

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Publication Date
Sun Jun 06 2010
Journal Name
Baghdad Science Journal
New Method for the Determination of DL-Histidine by FIA and Chemiluminometric Detection

This paper present a simple and sensitive method for the determination of DL-Histidine using FIA-Chemiluminometric measurement resulted from oxidation of luminol molecule by hydrogen peroxide in alkaline medium in the presence of DL-Histidine. Using 70?l. sample linear plot with a coefficient of determination 95.79% for (5-60) mmol.L-1 while for a quadratic relation C.O.D = 96.44% for (5-80) mmol.L-1 and found that guadratic plot in more representative. Limit of detection was 31.93 ?g DL-Histidine (S/N = 3), repeatability of measurement was less that 5% (n=6). Positive and negative ion interferances was removed by using minicolume containing ion exchange resin located after injection valve position.

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Publication Date
Thu May 28 2020
Journal Name
Iraqi Journal Of Science
Genetic Algorithm-Based Anisotropic Diffusion Filter and Clustering Algorithms for Thyroid Tumor Detection

Medical imaging is a technique that has been used for diagnosis and treatment of a large number of diseases. Therefore it has become necessary to conduct a good image processing to extract the finest desired result and information. In this study, genetic algorithm (GA)-based clustering technique (K-means and Fuzzy C Means (FCM)) were used to segment thyroid Computed Tomography (CT) images to an extraction thyroid tumor. Traditional GA, K-means and FCM algorithms were applied separately on the original images and on the enhanced image with Anisotropic Diffusion Filter (ADF). The resulting cluster centers from K-means and FCM were used as the initial population in GA for the implementation of GAK-Mean and GAFCM. Jaccard index was used to s

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Publication Date
Sun Mar 04 2012
Journal Name
Baghdad Science Journal
Detection of Some Active compounds and Vitamins Increasing in Aloe vera Callus culture

This study was aimed to use plant tissue culture technique to induce callus formation of Aloe vera on MS. Medium supplied with 10 mg/l NAA and 5 mg/l BA that exhibit the best results even with subculturing. As the method of [1] 1g. dru weight of callus induced from A. vera crown and in vivo crown were extracted then injected in HPLC using the standards of Ascorbic acid (vit. C), Salysilic acid and Nicotenic acid (vit. B5) to compare with the plant extracts. Results showed high potential of increasing some secondary products using the crown callus culture of A. vera as compared with in vivo crown, Ascorbic acid was 1.829 ?g/l in in vivo crown and increased to 3.905 ?g/l crown callus culture . Salysilic acid raised from 3.54 ?g/l in in vivo c

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